Who this is for: Analysts, educators and content teams explaining a checked dataset.
What to prepare
- Dataset with units, definitions, period and provenance
- One reader question and approved interpretation
- Missing-data and uncertainty notes
- Subject reviewer and complete source reference
Copyable creative brief
An authored planning example. Replace illustrative details with your approved product facts and assets.
Illustrative job: explain which of three fictional workshops completed the most practice pieces in one week. Use North 18, East 12 and West 24 pieces, clearly labeled as fictional teaching values. Use a fixed-scale horizontal bar chart with a shared zero baseline, category names, exact counts and the definition “completed practice pieces.” Plan 30 seconds: question at 0–4, scope at 4–9, chart reveal at 9–18, interpretation at 18–24 and reference hold at 24–30. Conclude only that West has the largest count in this example. Do not infer quality, efficiency or causation. Deliver the source-status register, chart specification, timed storyboard and a review sheet mapping every visible claim to its support.
Make it your own
- READER_QUESTION
- State one question the supplied data can answer.
- DATA_RECORD
- Provide values and their complete definitions.
- ENCODING
- Select a chart that fits the question and data structure.
- LIMITS
- Record uncertainty, exclusions and conclusions the data cannot support.
Choose suitable evidence
This format suits a small set of checked quantities and a question that can be answered visually. It is unsuitable when the dataset lacks definitions, categories use incompatible denominators or the desired conclusion is already stronger than the evidence. Animation cannot repair an unsupported claim.
For real data, retain the exact source location, measured period and inclusion rule. A familiar organization's homepage is not a substitute for the record supporting the number. Missing values and estimates need explicit treatment before the chart is designed.
Make the encoding decision visible
The illustrative question asks for a categorical comparison, so bars on one fixed scale are a reasonable choice. A line would suggest an ordered progression that these workshop names do not require. A dot plot is a quieter alternative when endpoint positions are enough.
Write the decision as question, data structure, encoding, motion rule and likely misreading. Keep units and scope with the marks. If the film later changes to a share-of-total question, add the denominator and reconsider the chart instead of repurposing the same geometry blindly.
Review meaning through the whole sequence
Inspect baseline continuity, scale changes, category identity and source-note readability. Reveal the complete comparison before delivering the conclusion. Check the strongest frame for missing qualifications, because that frame may be paused or shared independently.
Use uncertainty wording approved by the data owner. Do not infer the statistical meaning of a range from its visual shape. A reviewer should confirm arithmetic and interpretation separately from a designer checking layout and timing.
Define the delivery limits
Deliver a useful final reference view and supporting source text alongside the film where appropriate. Record the actual encoded file inspected; the fictional example in this brief is not a measured result. If the dataset changes, recheck both the chart and its conclusion.
This resource supplies a production brief and review method, not an automatic data-import, chart-generation or analysis capability. A data owner remains responsible for supplying and approving the evidence.
Review checklist
- The reader question fits the supplied dataset.
- Definitions, period and provenance are documented.
- Scale and category identity stay consistent.
- Interpretation and uncertainty wording receive subject review.